Sierra
Sierra is an enterprise conversational Artificial Intelligence (AI) platform that builds and operates AI-powered agents for automating customer and employee interactions across digital channels.
- AI agent platform for enterprise customer service automation
- Design and orchestration tools for multi-step, goal-driven workflows
- Connectors and APIs for integration with existing systems and data sources
- Monitoring, analytics, and control features for deployed AI agents
- Security, compliance, and governance capabilities for enterprise deployments
More About Sierra
Sierra provides an AI agent platform (conversational AI, workflow automation) that enterprises use to automate customer and internal support interactions in web, mobile, and messaging interfaces. Its system is structured to let organizations define domain-specific agents that can understand user intent, maintain context across turns, and execute actions against back-end applications through configured integrations.
The platform is oriented around goal-based conversational flows rather than single-turn question answering. Enterprises can configure multi-step workflows that Marketing Automation Platform (MAP) to business processes such as account management, order changes, or troubleshooting. These workflows are typically composed of intent recognition, slot filling, validation, and action-execution steps, coordinated by an orchestration layer that determines the next action based on user inputs and system responses.
Sierra exposes APIs and integration mechanisms (systems integration, Application Programming Interface (API) orchestration) to connect agents with Customer Relationship Management (CRM), ticketing, order management, identity, and other operational systems. This enables the agents to read and write data, create or modify records, and trigger downstream processes. The platform uses standard web protocols (HTTPS, REST-style APIs) for programmatic interaction, and is designed to be embedded into existing digital properties via SDKs, widgets, or channel adapters.
Enterprises deploy Sierra for use cases in customer service, post-purchase support, account self-service, and internal helpdesk scenarios. The platform provides configuration interfaces for defining business logic, guardrails, and escalation paths to human agents. It also includes monitoring and analytics (observability, CX analytics) so operations teams can review conversations, measure containment and resolution metrics, and update flows based on observed behavior.
From a governance perspective, Sierra emphasizes access control, data handling, and auditability features suitable for enterprise IT environments. Role-based permissions, environment separation, and approval workflows are typically available for teams managing agent changes. The platform is positioned in marketplace taxonomies under conversational AI platforms, customer service automation, workflow automation, and AI application infrastructure, serving as a programmable layer between large language models and production business systems.